mathematics

Ravindra Khattree

Ravindra Khattree is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Ravindra Khattree rather than just read about it. In short: Ravindra Khattree (born 1959) is an Indian-American statistician and a distinguished professor of statistics at Oakland University and a co-director of the Center for Data Science and Big Data Analytics/ Institute for Data Science at the same university. His contribution to the Fountain–Khattree–Peddada Theorem in Pitman measure of closeness is one of the important results of his work.

Key takeaways

Ravindra Khattree belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Ravindra Khattree to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Ravindra Khattree from memory before moving on to harder problems.

Reference excerpt

Ravindra Khattree (born 1959) is an Indian-American statistician and a distinguished professor of statistics at Oakland University and a co-director of the Center for Data Science and Big Data Analytics/ Institute for Data Science at the same university. His contribution to the Fountain–Khattree–Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. He has served as an associate editor of the Communications in Statistics journal and the editor of the Interstat online journal. He was Chief editor of Journal of Statistics and Applications for more than ten years. He is an elected fellow of the American Statistical Association. Khattree was born in Uttar Pradesh, India. He attended the Ewing Christian College-Allahabad University and the Indian Statistical Institute. In 1985, he earned a doctorate from the University of Pittsburgh with Calyampudi Radhakrishna Rao as his advisor and immediately joined the North Dakota State University. He became a faculty member at Oakland University in 1991. He was the biostatistics group leader in the Biomedical Research and Informatics Center and a professor of biostatistics in the College of Human Medicine, Michigan State University during 2005–2006. He worked as a senior research scientist at US National Academy of Sciences with assignment at the Radiation Effects Research Foundation (formerly known as Atomic Bomb Casualty Commission), Hiroshima during 2010–2011. Prior to joining Oakland University, he had been a faculty member at the North Dakota State University, Case Western Reserve University and also worked at BFGoodrich Chemical Group. He is the paternal grandson of Binda Prasad Khattri.

Recognition In 2002, Khattree received the Young Researcher Award from the International Indian Statistical Association. Khattree was honored with fellowship in the American Statistical Association in 2003 and became an elected member of the International Statistical Institute in 2004. He is also a recipient of Oakland University Research Excellence Award (2008).

Bibliography Applied Multivariate Statistics with SAS Software (1995, 1999) with Dayanand N. Naik Multivariate Data Reduction and Discrimination with SAS Software (2000) with Dayanand N. Naik Handbook of Statistics Volume 22, Statistics in Industry (2002) with C.R. Rao Computational Methods in Biomedical Research (2008) with Dayanand N. Naik Handbook of Statistics Volume 53, Statistics in Industry and Government (2025) with H So and Arni Rao

References

External links Mathematical Genealogy

Worked examples

Example 1 — a first encounter with Ravindra Khattree

Start with the simplest possible case. Write down what Ravindra Khattree claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Ravindra Khattree before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Ravindra Khattree ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Ravindra Khattree

In research: Ravindra Khattree appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Ravindra Khattree in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Ravindra Khattree is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1959 births, American academics of Indian descent, Elected Members of the International Statistical Institute, so understanding it makes those chapters shorter.
In everyday life: Look for Ravindra Khattree outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Ravindra Khattree in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Ravindra Khattree means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Ravindra Khattree out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ravindra Khattree in simple terms?

Why does Ravindra Khattree matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Ravindra Khattree?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Ravindra Khattree.